Related skills
javascript python go typescript llms📋 Description
- Design AI solutions translating customer needs into agentic AI.
- Deploy autonomous AI workflows into customer environments.
- Architect AI behavior from SOPs into automated flows.
- Build prompts, retrieval pipelines, and integrations (MCP).
- Implement guardrails, safety checks, and monitoring dashboards.
- Optimize agent performance and define KPI baselines.
🎯 Requirements
- 5+ years in customer-facing technical roles (solutions architect, etc.)
- Deep AI/ML stack: LLMs, vector DBs, agent orchestration; Python/Go/JS/TS
- Prompt engineering: CoT, Few-Shot, ReAct; LLM orchestration
- Proven deployment of LLM-based apps at scale; building agents
- APIs: REST/GraphQL; MCP servers; enterprise integrations (Zendesk, Salesforce, ServiceNow)
- Python or Node.js scripting for middleware/connectors
🎁 Benefits
- Competitive benefits and robust training program.
- Inclusive offices and collaborative culture.
- Great Place to Work certified company.
- Opportunities to grow with AI leadership.
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